JOURNAL OF TEXTILE RESEARCH ›› 2008, Vol. 29 ›› Issue (12): 17-21.

• 纺织工程 • Previous Articles     Next Articles

Worsted roving process′s rule extraction and cases based on rough set

LIU Gui~1;YU Weidong~   

  1. 1.Textile Materials and Technology Laboratory;Donghua University;Shanghai 201620;China;2.College of Garment & Art Design;Jiaxing University;Jiaxing;Zhejiang 314001;China;3.College of Textiles;Donghua University;Shanghai 201620;China
  • Received:2007-12-25 Revised:2008-05-13 Online:2008-12-15 Published:2008-12-15

Abstract: The character of worsted fore-spinning process has been briefly analyzed.As the roving quality′s importance and involving many parameters,the quality′s control and process parameters′ design become difficult.Based on 50 groups of historical data gathering from a worsted mill,rough set data analysis(RSDA) was actualized to get the reduced cores of roving unevenness(R_1) and weight(R_2) in Rosetta environment.According to R_1 and R_2,36 and 28 potential knowledge rules were got respectively.Take a certain group of tops as an example,the twelfth rule related R_1 was completely in accord with the case composed by the reduced attributes.Meanwhile RS was inducted to case-based reasoning(CBR) to establish the case index storehouse.It realized the effective union of rule-based reasoning(RBR) and CBR,in order to guide the craft design and product quality control.

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